code: def sample_from_cp_domain(
      cp_domain,
      num_samples,
      domain_samplers=None,
      euclidean_sample_type="rand",
      integral_sample_type="rand",
      nn_sample_type="rand",
      discrete_euclidean_sample_type="rand",
      max_num_retries_for_constraint_satisfaction=10,
      verbose_constraint_satisfaction=True,
  ):
      """Samples from the CP domain."""
      ret = []
      if cp_domain.has_constraints():
          num_samples_to_draw = max(10, 2 * num_samples)
      else:
          num_samples_to_draw = num_samples
      for _ in range(max_num_retries_for_constraint_satisfaction):
          curr_ret = sample_from_cp_domain_without_constraints(
              cp_domain,
              num_samples_to_draw,
              domain_samplers,
              euclidean_sample_type,
              integral_sample_type,
              nn_sample_type,
              discrete_euclidean_sample_type,
          )
          # Check constraints
          if cp_domain.has_constraints():
              constraint_satisfying_ret = [
                  elem
                  for elem in curr_ret
                  if cp_domain.constraints_are_satisfied(elem)
              ]
              curr_ret = constraint_satisfying_ret
          ret.extend(curr_ret)
          # Check length of ret
          if len(ret) >= num_samples:
              ret = ret[:num_samples]
              break
          num_samples_to_draw = 2 * num_samples
      # Check if the number of samples is too small and print a warning accordingly.
      if len(ret) < num_samples and verbose_constraint_satisfaction:
          if len(ret) == 0:
              warn(
                  (
                      "sample_from_cp_domain obtained 0 samples (%d requested) despite %d "
                      + "tries. This is most likely because your constraints specify a set of measure "
                      + "0. Consider parametrising your domain differently."
                  )
                  % (
                      num_samples,
                      max_num_retries_for_constraint_satisfaction,
                  )
              )
          elif len(ret) / float(num_samples) < 0.25:
              warn(
                  (
                      "sample_from_cp_domain obtained %d samples (%d requested) despite %d "
                      + "tries. This is because your constraints specify a very small subset of the "
                      "original domain. Consider parametrising your domain differently."
                  )
                  % (
                      len(ret),
                      num_samples,
                      max_num_retries_for_constraint_satisfaction,
                  )
              )
          else:
              warn(
                  (
                      "sample_from_cp_domain was only able to obtain %d samples (%d requested) "
                      + "despite %d tries. Try increasing max_num_retries_for_constraint_satisfaction."
                  )
                  % (
                      len(ret),
                      num_samples,
                      max_num_retries_for_constraint_satisfaction,
                  )
              )
      return ret
  
imports: from __future__ import print_function
  from argparse import Namespace
  from copy import deepcopy
  import numpy
  from warnings import warn
  from .None import domains
  from ..parse.config_parser import config_parser
  from ..utils.general_utils import flatten_list_of_objects_and_iterables, get_original_order_from_reordered_list, transpose_list_of_lists
  from ..utils.oper_utils import random_sample_from_euclidean_domain, random_sample_from_discrete_euclidean_domain, random_sample_from_integral_domain, random_sample_from_prod_discrete_domain
label_desc: Use image node_id 15 for calling a global function with example usage: sample_from_cp_domain(cp_domain, num_samples, domain_samplers, euclidean_sample_type, integral_sample_type, nn_sample_type, discrete_euclidean_sample_type, max_num_retries_for_constraint_satisfaction, verbose_constraint_satisfaction) and returns: ret